Triple
T13719214
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jenner family |
E328980
|
entity |
| Predicate | business |
P12567
|
FINISHED |
| Object |
Kylie Swim
Kylie Swim is a swimwear brand founded by Kylie Jenner, offering trendy bikinis, one-pieces, and beachwear.
|
E342939
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Kylie Swim | Statement: [Jenner family, business, Kylie Swim]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kylie Swim Context triple: [Jenner family, business, Kylie Swim]
-
A.
Kylie Dodson
Kylie Dodson is an individual associated with the use of something referred to as "Dodson," though little public information is available about her beyond this connection.
-
B.
Kylie
Kylie is a popular given name notably borne by American media personality and businesswoman Kylie Jenner.
-
C.
Kylie Rogers
Kylie Rogers is an American actress best known for her lead role as the young girl in the faith-based drama film "Miracles from Heaven."
-
D.
Kylie du Fresne
Kylie du Fresne is an Australian film and television producer known for her work on acclaimed independent features and series.
-
E.
Kylie Flinker
Kylie Flinker is an actress known for her role in the British sitcom "The Vicar of Dibley."
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Kylie Swim Triple: [Jenner family, business, Kylie Swim]
Generated description
Kylie Swim is a swimwear brand founded by Kylie Jenner, offering trendy bikinis, one-pieces, and beachwear.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kylie Swim Target entity description: Kylie Swim is a swimwear brand founded by Kylie Jenner, offering trendy bikinis, one-pieces, and beachwear.
-
A.
Kylie Dodson
Kylie Dodson is an individual associated with the use of something referred to as "Dodson," though little public information is available about her beyond this connection.
-
B.
Kylie
chosen
Kylie is a popular given name notably borne by American media personality and businesswoman Kylie Jenner.
-
C.
Kylie Rogers
Kylie Rogers is an American actress best known for her lead role as the young girl in the faith-based drama film "Miracles from Heaven."
-
D.
Kylie du Fresne
Kylie du Fresne is an Australian film and television producer known for her work on acclaimed independent features and series.
-
E.
Kylie Flinker
Kylie Flinker is an actress known for her role in the British sitcom "The Vicar of Dibley."
- F. None of above.
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d80770b9bc81909f70c8c317d53cff |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dd439a121c81908cae964e7756274c |
completed | April 13, 2026, 7:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f79d5c4f848190993f829824eabbef |
completed | May 3, 2026, 7:09 p.m. |
| NEDg | Description generation | batch_69f79e77b5e88190a85f4061c8abb8a4 |
completed | May 3, 2026, 7:13 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f79fa5249481909b2c046ed9801371 |
completed | May 3, 2026, 7:19 p.m. |
Created at: April 9, 2026, 9:55 p.m.